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Open Challenge

Problem Solving With Data

About this Challenge by
Open Challenge

Problem Solving With Data

Overview
Are you curious about what you can learn about the world using the data produced every day? In each milestone, you’ll attain hands-on experience in analyzing a dataset, and publishing powerful and informative visualizations that provide stakeholders with actionable insights. Through this process, you will learn to translate the language of data into the language of business and apply your knowledge to your entrepreneurial or intrapreneurial endeavors.
STARTS
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FORMAT
Online/Remote
DURATION
3-week online program
TUITION
€100
LANGUAGE
English
ECTS
2.5 credits
SKILLS YOU'LL LEARN
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How You'll Learn

Our mission is to help you navigate the fast-changing world by building the skillset and mindset to make a sustainable impact on the future. That's why we offer cutting-edge, intensive, and practice-based Open Challenges, delivered 100% online by Subject Matter Experts. Our certificates give you the resources to upskill, boost your career prospects, and unlock your full potential. The certificates are stackable, meaning that you can use the credits earned towards one of our degree programs.

Learn by doing

Experience real "learning by doing" in an international environment

Network and community

Engage your network and new global community to speed up your impact and get noticed

Guidance

Receive guidance from  industry leaders and mentors who are already thriving in successful careers

Remote-first

Grow your network with peers from around the world in a remote-first setting

KfW is one of the world’s leading promotional banks that has been committed to improving economic, social, and environmental living conditions across the globe on behalf of the Federal Republic of Germany since 1948.

KfW is actively involved in the issues that will shape the world of tomorrow. They promote wind farms, infrastructure projects, schools, and hospitals because meaningful and sustainable projects are part of their mission. As a bank, they are committed to responsibility. KfW supports people, countries, and institutions who think ahead and are motivated to take action, driving our society toward the future. This profile is what clearly sets KfW apart from other commercial banks.

Open Challenges

Problem Solving With Data

Are you curious about what you can learn about the world using the data produced every day? In each milestone, you’ll attain hands-on experience in analyzing a dataset, and publishing powerful and informative visualizations that provide stakeholders with actionable insights. Through this process, you will learn to translate the language of data into the language of business and apply your knowledge to your entrepreneurial or intrapreneurial endeavors.

Deadline to apply:
14th of September
Remote
3-week online program
€100
deposit/refundable
2.5 credits
ECTS
Apply now

What You'll Learn

The program is made up of milestones, or challenge-based steps where you’ll gain hands-on experience and master a concept before moving on and eventually completing the entire challenge. Have a look at what you'll accomplish over this 3-week program in each milestone.

1
Setting the scene: industry, dataset, context
Your first task will be to select from a curated collection of datasets spanning a range of industries/sectors. Based upon this selection, you will create a profile of the company/organization to whom this dataset applies.
2
Laying the foundations
In this milestone, you will gain proficiency in Tableau, a widely-used data analysis cross-platform and visualization technology that enables users to publish data to the web. In addition, there will be a review of basic statistical techniques and concepts applied in the data analysis project phases.
3
Getting to know your data: key features and trends
Now, you will perform a high-level analysis of your dataset. What are the salient features? Any trends/patterns in the data that are not only of interest to you but could potentially offer crucial insights to a company? This exploratory phase will enable you to develop a research question for the project.
4
Research question definition
After preliminary exploring the dataset, you should feel prepared to formulate a research question that's answered through further analysis. The focus for this milestone will be to determine a critical issue you wish to investigate and compile a list of supporting questions that will help you discover patterns in the data.
5
Research question-driven data analysis
In this milestone, you will take a more fine-grained approach to examine your dataset, guided by the questions formulated in milestone 4, and write a brief summary of your findings. Throughout this process, you may take the opportunity to iterate over these questions and refine/reframe them as necessary and create basic visualizations to assist with the analysis.
6
Data visualization and publishing
A picture can be worth a thousand words. Therefore, based on your milestone 5 findings, you will produce and publish visually compelling (and easy-to-understand) visualizations.
7
Pitch your insights
In this final milestone, you will have the opportunity to distill your insights into a brief, industry-targeted presentation. The goal will be not merely to inform but also to persuasively articulate your research findings in non-technical, business-oriented terms.

Who is this program for?

Are you hoping to accelerate your professional success and sustainable impact in a community? Build your network with people from around the globe who are carefully selected to ensure a diversity of backgrounds, experiences, and goals.

You want to become...
A Business Intelligence Analyst
A Researcher
A Product Manager
A Marketing Manager

The Challenge

In this challenge, you will attain hands-on experience as you work through real-life business scenarios under the guidance of mentors and industry experts. As you gain new competencies and demonstrate mastery in a specific milestone you can move on to the next one. You’ll use your existing knowledge and new skills to complete the challenge and be prepared for future Open Challenges or our degree programs.

Apply now

Highlights

3-week online program
10-15h weekly load
25 limited cohort
Weekly discussions
€100
2.5 credits
Slack community
Certificate
Upon successfully completing the challenge, you'll receive a digital certificate that can be shared with your personal and professional networks.

Open Challenge starts on

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Here are some dates to keep in mind during the application process.

Apply now
Application deadline (limited seats)
until
14th of September
Confirmation of participation
until
19th of September
Challenge starts
on
September 19, 2022
Sam Tymorek
Software Engineer in Sustainable Technology, AI, & Creative Tech
Data analysis is essential to make decisions and have an impact at scale. Without modern data acquisition tools and a competency for analyzing that data, the health of our world’s systems, both natural and human-made, is at peril.
Sam Tymorek
Software Engineer in Sustainable Technology, AI, & Creative Tech

Meet Your Program Director

Apply now
Program Director, Co-Founder & CEO of ToU
Dr. Thomas Funke

Academic and entrepreneur, Dr. Thomas Funke is the Co-Founder and CEO of Tomorrow University of Applied Sciences. Funke has always been an impassioned entrepreneur and also holds over 15 years of experience in the education sector. Thomas is building the university for a better tomorrow to help change makers and aspiring sustainable leaders make an impact on our future.

Meet Your Program Director

Apply now
Program Director, Co-Founder & CEO of ToU
Dr. Thomas Funke
Academic and entrepreneur, Dr. Thomas Funke is the Co-Founder and CEO of Tomorrow University of Applied Sciences. Funke has always been an impassioned entrepreneur and also holds over 15 years of experience in the education sector. Thomas is building the university for a better tomorrow to help change makers and aspiring sustainable leaders make an impact on our future.

Your ToU Journey
Starts Here

Thank you for your interest in our program. We'd like to learn a bit more about you and will get in touch with you shortly.

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